• Title/Summary/Keyword: 언어 능력

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Increase of Spoken Number of Syllables Using MIT(Melody Intonation Therapy) : Case Studies on older adult with stroke and aphasia (MIT(Melodic Intonation Therapy) 중심의 음악활동을 이용한 실어증을 가진 뇌졸중 노인의 음절 수 증가에 대한 사례 연구)

  • Hong, Do Kyoung
    • Journal of Music and Human Behavior
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    • v.2 no.2
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    • pp.57-67
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    • 2005
  • Most of stroke patients have not only physical difficulty but speech and neurological disorder because of hemiplegia and such unexpected changes cause psychologic disadaptability and absent-mindedness. Particularly, lowering of physical ability can lead to serious emotional problem from failure or frustration in daily life. Generally, treatment of patient with stroke put emphasis on physical rehabilitation but actually this patient had considerable speech disorder such as aphasia or articulation disorder. Moreover, failing of recognition function, mental disorder as hypochondria, and even visual and auditory disorder are represented. So it is effective to integrate verbal remediation and other treatments in medical care environment. In particular, patients with language disorder very often wither psychologically therefore it is efficient to use of music therapy that gives opulent emotion to aphasia patients. And primarily to investigate the effects of 10 sessions treatments; change in spoken total number of syllables, to confirm their own value by success of given task and reassure about themselves ability. All of 10 sessions stages were scored by MIT manual and its improvement were measured, that is, accomplishment was analyzed within each level in order to prove detail change of spoken total number of syllables. The result of this program organized from 2 syllables to 4 syllables is summarized as follows. Subject A completed in preliminary stage Level I, in 2 syllables case advanced to Level III in fifth session and to Level IV in seventh session, in 3 syllables case advanced to Level III in seventh session and to Level IV in ninth session, and in 4 syllables case showed 8% low success rate in first session but after repeated practice increased considerably in sixth session and in advanced to Level III in eighth session to Level IV in tenth session. Subject B also completed in preliminary stage Level I, in 2 syllables case advanced to Level III in forth session and to Level IV in sixth session, in 3 syllables case advanced to Level III in fifth session and to Level IV in seventh session, and in 4 syllables case showed 10% low success rate in first session and increased considerably in fifth session and in advanced to Level III in seventh session but could not reach to Level IV until tenth session. As a result, it was shown that music therapy using MIT was not statistically meaningful but improved spoken total number of syllables and success rate of task had improved as a whole. Therefore, music intervention using MIT it has positive affect on verbal ability of patients with Broca's Aphasia and their language rehabilitation.

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Development of Foreign Language Fluency Diagnosis Tools For Brain Scientific Language Learning (뇌공학적 외국어 학습을 위한 외국어 능숙도 진단 도구 개발)

  • Lee, Sae-Byeok;Lee, Won-Gyu;Kim, Hyeon-Cheol;Jung, Soon-Young;Lim, Heui-Seok
    • The Journal of Korean Association of Computer Education
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    • v.13 no.1
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    • pp.37-44
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    • 2010
  • Recently, the scientific approach to brain engineering is actively being made for effective foreign language learning and diagnosis. In order to supplement the problem of preexistence paper exam, the study aimed to develop a tool for foreign language fluency diagnosis which based on brain engineering. The proposed tools in the paper indirectly measure the aspects of brain information processing by testing learners' 3 abilities of linguistic memory, comprehension, and language production in 5 different ways.

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창업자의 다중지능 영역별 발달 특성이 창업 행동 및 창업 분야에 미치는 영향 연구

  • Lee, Seon-Hui
    • 한국벤처창업학회:학술대회논문집
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    • 2018.11a
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    • pp.31-34
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    • 2018
  • 다중지능은 하워드 가드너가 제시한 개념으로, 지능이 단일한 지적 능력을 나타내는 구조(construct)이라기 보다는 다차원적인 복수의 하위 능력들로 구성된 것이라는 의미를 담고 있다. Gardner는 다중지능의 구성을 음악지능이나 신체운동지능, 논리수학지능, 언어지능, 공간지능, 인간친화지능, 자기성찰지능 그리고 자연친화지능 등과 같은 상호독립적 능력으로 분류하고 있으며, 각 개인은 각 능력 영역에서 다른 발달 수준을 가지고 있다고 본다. 본 연구는 창업자의 다중지능의 영역별 발달 특성이 창업 실행 행동, 창업 분야, 창업 성과 만족도에 영향을 미치는지를 알아보는 것을 통해 예비 창업자들이 본인의 적성과 재능에 적합한 분야에서의 창업 가능성을 탐색하도록 돕는 지도자들에게 시사점을 제공하고, 향후 창업가 육성 프로그램의 구성 개선안을 마련하는 데에 기여하고자 한다. 이를 위해 본 연구에서는 2018년 중소기업진흥공단 청년창업사관학교에 입교한 만 39세 이하의 청년창업자 200인을 대상으로 다중지능검사와 인구통계학적 특성 및 창업 특성에 대해 묻는 설문조사를 실시한 후, Pearson 상관계수 및 다변량분산분석을 통해 수집된 자료를 분석할 예정이다. 연구목적을 달성하기 위하여 설정한 가설은 다음의 3가지이다. 가설 1. 창업자의 다중지능 영역별 발달 수준과 창업 실행에는 정적인 상관이 있을 것이다. 가설 2. 창업자의 다중지능 영역별 발달 수준에 따라 창업자가 선택한 창업 분야에 유의한 차이가 있을 것이다. 가설 3. 창업자의 다중지능 영역별 발달 수준에 따라 창업자의 창업 성과 만족도에 유의미한 차이가 있을 것이다.

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Training needs analysis for the development of basic job skill curriculum in specialized high school (특성화고등학교 직업기초능력 교육과정 개발을 위한 교육요구분석 - 기업근로자를 중심으로)

  • Bae, Gwang-Min;Yoon, Gwan-Sik
    • 대한공업교육학회지
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    • v.40 no.2
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    • pp.44-71
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    • 2015
  • This study is aimed to analyze the cognitive level of basic job skill for students, graduates, and teachers in a specialized high school, as well as for workers in a company, and to suggest an optimal educational curriculum by deciding the priority of the basic job skill in education in the field of mechanic, electric electronic semiconductor, and architecture civil engineering construction. This research was undertaken with the use of various statistic skills, the Borich method, and the locus for focus model. Also, this research shall be valued in synthetic understandings for curriculum revising. The educational priority which shall be applied to the mechanic, electric electronic semiconductor, and architecture civil engineering construction at specialized high school was analyzed, and according to this, a new curriculum was suggested. For mechanic, it put its educational priority on Expressing oneself, Problem solving, Self-development, Career development, Managing time, Negotiation, and Understanding technology. For electric electronic semiconductor, its focus was on Managing time, and for architecture civil engineering construction, they emphasized Problem solving, Self-development, Career development, Managing time, and Conflict management.

Developing the Teaching Material and Comparative Experiment of LOGO and Scratch (교육용 프로그래밍 언어인 로고와 스크래치 교재 개발 및 비교 실험)

  • Kim, Jong-Jin;Hyun, Dong-Lim;Kim, Sung-Wan;Kim, Jong-Hoon;Won, Yoo-Hun
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.459-469
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    • 2010
  • Knowledge-based society requests the ability to reuse existing knowledge beyond acquirement and utilization of universal knowledge. The present education of computer, on the other hand, is biased only teaching how to use software. But it does not appropriate for the education to boost various and creative thinking. Thus, this paper carried out research on creativity to be treated in the goal of the 7th Educational Curriculum. Also it selected and analysed computer programming languages-'LOGO' and 'Scratch'. Furthermore, it develops a training material and applies to elementary students in schools. The result that it compares and analyzes the effect that each languages influence to creativity of students, both of them help to develop creativity. Especially 'LOGO' made a positive impact on fluency, 'Scratch' did on ness and resistance.

Design and Application of Web Contents for Integrated Programming Language Course (프로그래밍 언어의 통합 교육을 위한 웹 콘텐츠의 설계 및 운용)

  • Suh, Bong-Sue;Park, Seong-Gyoon
    • The Journal of the Korea Contents Association
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    • v.7 no.8
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    • pp.226-233
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    • 2007
  • There have not been integrated courses for education of C and Java programming languages in most universities. Based on similarities and uniqueness and the previous lecturing of each language, we designed and made an integrated programming course. In this paper, we introduce the web-based contents which make the successful and effective application of the new course. The web-based contents consist of the main page, the course materials, the auxiliary materials, and the bulletin board, and supports a variety of practices with the examples. From the application of the web-based contents to the practical lectures, we notice that understandability, satisfaction, and the programming skills of students significantly increase comparing to that of the previous respective courses.

The Recommendation System for Programming Language Learning Support (프로그래밍 언어 학습지원 추천시스템)

  • Kim, Kyung-Ah;Moon, Nam-Mee
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.11-17
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    • 2010
  • In this paper, we propose a recommendation system for supporting self-directed programming language education. The system is a recommendation system using collaborative filtering based on learners' level and stage. In this study, we design a recommendation system which uses collaborative filtering based on learners' profile of their level and correlation profile between learning topics in order to increase self-directed learning effects when students plan their learning process in e-learning environment. This system provides a way for solving a difficult problem, that is providing programming problems based on problem solving ability, in the programming language education system. As a result, it will contribute to improve the quality of education by providing appropriate programming problems in learner"s level and e-learning environment based on teaching and learning method to encourage self-directed learning.

Hybrid Learning for Vision-and-Language Navigation Agents (시각-언어 이동 에이전트를 위한 복합 학습)

  • Oh, Suntaek;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.9
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    • pp.281-290
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    • 2020
  • The Vision-and-Language Navigation(VLN) task is a complex intelligence problem that requires both visual and language comprehension skills. In this paper, we propose a new learning model for visual-language navigation agents. The model adopts a hybrid learning that combines imitation learning based on demo data and reinforcement learning based on action reward. Therefore, this model can meet both problems of imitation learning that can be biased to the demo data and reinforcement learning with relatively low data efficiency. In addition, the proposed model uses a novel path-based reward function designed to solve the problem of existing goal-based reward functions. In this paper, we demonstrate the high performance of the proposed model through various experiments using both Matterport3D simulation environment and R2R benchmark dataset.

A Study on Visual Contents for Korean Passive Verbs and Causative Verbs Education (한국어 피동·사동 교육용 시각 콘텐츠에 관한 연구)

  • Son, Joo-Hee;Kim, Eun-Jeong;An, Hee-Eun
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.348-358
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    • 2022
  • The purpose of this study is to produce visual content for effective education of Passive verbs and Causative verbs in Korean language education for foreigners. Passive verbs and causative verbs are contents that must be taught to intermediate level learners. However, it is recognized as a difficult item for both learners and Korean teachers because the realization pattern is complicated, and there is no rule to explain the combination relationship between the action and the instruction by suffix. In this article, the use of nonverbal information that can improve the learning effect was considered. Providing verbal and non-verbal information together in language education can be expected to improve learners' communication skills. In particular, visual content is non-verbal information that can positively affect memory enhancement, playback, and transition. Therefore, this study attempted to plan and produce picture cards as visual materials. The picture card, produced with a focus on the correct education of Korean Passive verbs, will efficiently and significantly make Korean Passive verbs and Causative verbs teaching and learning by suffixes.

Exploration on Tokenization Method of Language Model for Korean Machine Reading Comprehension (한국어 기계 독해를 위한 언어 모델의 효과적 토큰화 방법 탐구)

  • Lee, Kangwook;Lee, Haejun;Kim, Jaewon;Yun, Huiwon;Ryu, Wonho
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.197-202
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    • 2019
  • 토큰화는 입력 텍스트를 더 작은 단위의 텍스트로 분절하는 과정으로 주로 기계 학습 과정의 효율화를 위해 수행되는 전처리 작업이다. 현재까지 자연어 처리 분야 과업에 적용하기 위해 다양한 토큰화 방법이 제안되어 왔으나, 주로 텍스트를 효율적으로 분절하는데 초점을 맞춘 연구만이 이루어져 왔을 뿐, 한국어 데이터를 대상으로 최신 기계 학습 기법을 적용하고자 할 때 적합한 토큰화 방법이 무엇일지 탐구 해보기 위한 연구는 거의 이루어지지 않았다. 본 논문에서는 한국어 데이터를 대상으로 최신 기계 학습 기법인 전이 학습 기반의 자연어 처리 방법론을 적용하는데 있어 가장 적합한 토큰화 방법이 무엇인지 알아보기 위한 탐구 연구를 진행했다. 실험을 위해서는 대표적인 전이 학습 모형이면서 가장 좋은 성능을 보이고 있는 모형인 BERT를 이용했으며, 최종 성능 비교를 위해 토큰화 방법에 따라 성능이 크게 좌우되는 과업 중 하나인 기계 독해 과업을 채택했다. 비교 실험을 위한 토큰화 방법으로는 통상적으로 사용되는 음절, 어절, 형태소 단위뿐만 아니라 최근 각광을 받고 있는 토큰화 방식인 Byte Pair Encoding (BPE)를 채택했으며, 이와 더불어 새로운 토큰화 방법인 형태소 분절 단위 위에 BPE를 적용하는 혼합 토큰화 방법을 제안 한 뒤 성능 비교를 실시했다. 실험 결과, 어휘집 축소 효과 및 언어 모델의 퍼플렉시티 관점에서는 음절 단위 토큰화가 우수한 성능을 보였으나, 토큰 자체의 의미 내포 능력이 중요한 기계 독해 과업의 경우 형태소 단위의 토큰화가 우수한 성능을 보임을 확인할 수 있었다. 또한, BPE 토큰화가 종합적으로 우수한 성능을 보이는 가운데, 본 연구에서 새로이 제안한 형태소 분절과 BPE를 동시에 이용하는 혼합 토큰화 방법이 가장 우수한 성능을 보임을 확인할 수 있었다.

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